Clusting

rewhen doing clustering there might be two case 1. when we know how many cluster are there and 2. sometime it might no be obvious. they they are need to be handled carefully.

one great algorithm in later case is HDBSCAN which stands for Hierarchical Density-Based Spatial Clustering of Applications with Noise and is extended from of DBSCAN.

while using HDBSCAN i may need to reduce the

Things to look at HDBSCAN DBScan density-based clustring Umap why is it needed to reduce the dimention of the embedding when using the hdbscan